Learning Pathology-Sensitive Representations for Unsupervised Retinal OCT Anomaly Detection

Tania Haghighi, Sina Gholami, Behafarin Emam +5

Deep learning approaches for retinal optical coherence tomography (OCT) predominantly rely on predefined disease categories, limiting their ability to detect rare or previously uns…